Institutional Repository of Key Laboratory of Mental Health, CAS
Antipsychotic-based machine learning models may help prediction of tardive dyskinesia in patients with schizophrenia | |
Uludag, Kadir1; Wang, Dong Mei1,3![]() ![]() | |
第一作者 | Kadir Uludag |
通讯作者邮箱 | wangdm@psych.ac.cn (d.m. wang) ; zhangxy@psych.ac.cn (x. zhang) |
心理所单位排序 | 1 |
关键词 | Predicting movement disorder Tardive dyskinesia Machine learning Schizophrenia Random forest |
2023-02-01 | |
语种 | 英语 |
DOI | 10.1016/j.schres.2022.12.026 |
发表期刊 | SCHIZOPHRENIA RESEARCH
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ISSN | 0920-9964 |
卷号 | 252页码:33-35 |
收录类别 | SCI ; SSCI |
资助项目 | CAS International Cooperation Research Program[153111KYSB20190004] ; CAS Pioneer Hundred Talents Program ; CAS Key Laboratory of Mental Health ; Chinese government |
出版者 | ELSEVIER |
WOS研究方向 | Psychiatry |
WOS类目 | Psychiatry |
WOS记录号 | WOS:000923336900001 |
WOS分区 | Q2 |
资助机构 | CAS International Cooperation Research Program ; CAS Pioneer Hundred Talents Program ; CAS Key Laboratory of Mental Health ; Chinese government |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | https://ir.psych.ac.cn/handle/311026/44713 |
专题 | 中国科学院心理健康重点实验室 |
通讯作者 | Wang, Dong Mei; Zhang, Xiangyang |
作者单位 | 1.Chinese Acad Sci, Inst Psychol, CAS Key Lab Mental Hlth, Beijing, Peoples R China 2.Univ Texas Hlth Sci Ctr Houston, Dept Psychiat & Behav Sci, Houston, TX USA 3.16 Lincui Rd, Beijing 100101, Peoples R China |
第一作者单位 | 中国科学院心理健康重点实验室 |
通讯作者单位 | 中国科学院心理健康重点实验室 |
推荐引用方式 GB/T 7714 | Uludag, Kadir,Wang, Dong Mei,Mohamoud, Yasmin,et al. Antipsychotic-based machine learning models may help prediction of tardive dyskinesia in patients with schizophrenia[J]. SCHIZOPHRENIA RESEARCH,2023,252:33-35. |
APA | Uludag, Kadir,Wang, Dong Mei,Mohamoud, Yasmin,Wu, Hanjing Emily,&Zhang, Xiangyang.(2023).Antipsychotic-based machine learning models may help prediction of tardive dyskinesia in patients with schizophrenia.SCHIZOPHRENIA RESEARCH,252,33-35. |
MLA | Uludag, Kadir,et al."Antipsychotic-based machine learning models may help prediction of tardive dyskinesia in patients with schizophrenia".SCHIZOPHRENIA RESEARCH 252(2023):33-35. |
条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Antipsychotic-based (697KB) | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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